Ego-net Community Mining Applied to Friend Suggestion
Summary: Introduces a parallel method to construct and cluster every ego-net at scale, exposing high-quality local communities. Derives neighborhood-local friend-suggestion features from cross-ego-net community co-occurrence, outperforming classic similarity measures theoretically and empirically. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alessandro Epasto (Brown University)
- 2. Silvio Lattanzi (Google)
- 3. Vahab Mirrokni (Google)
- 4. Ismail Oner Sebe (Google)
- 5. Ahmed Taei (Google)
- 6. Sunita Verma (Google)
BibTeX Citation
@article{epasto_vldb16,
title = {{Ego-net Community Mining Applied to Friend Suggestion}},
author = {Epasto, Alessandro and Lattanzi, Silvio and Mirrokni, Vahab and Sebe, Ismail Oner and Taei, Ahmed and Verma, Sunita},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {4},
pages = {324--335},
doi = {10.14778/2850583.2850594},
url = {https://doi.org/10.14778/2850583.2850594},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,416 | Local Algorithms for Hierarchical Dense Subgraph Discovery | 2019 | VLDB | 0.00010839488 |
| 7,624 | RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs | 2021 | VLDB | 5.5805027e-05 |
| 9,848 | Maximizing Fair Content Spread via Edge Suggestion in Social Networks | 2022 | VLDB | 5.2094004e-05 |
| 10,037 | Graph Exploration: From Users to Large Graphs | 2017 | SIGMOD | 5.1729561e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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